AISWare Data Infrastructure provides a complete Hadoop technology ecological environment, provides enterprises with the capacity of big data platform storage and computing base integrated with the lake and warehouse, has the integrated management and control capability of management, operation and monitoring, and also provides professional big data operation and maintenance, consulting and other services to help customers build an efficient and safe big data infrastructure platform with cloud native architecture.
Multi-type data storage, various calculation and analysis
Cluster resource operation, operation and maintenance security
Based on open source self-research, adapts to domestic architecture
Independent research and development of the core technologies.Compatible with community standardsSupport X86 and ARM architecture servers Compatible with domestic CPUs such as Haiguang, Kunpeng, and Feiteng, Compatible with domestic operating systems such as Euler, Kirin, and Tongxin
Support structured and unstructured data storage Support data LakeHouse Save the storage with erasure coding technology
Support Multi-type computing power such as batch query, real-time query, interactive, point-to-point, full-text search
Provide management and opertion for big data platform based on "multi-tenant" Resource is allocated on demand and usable once ready
Provide performance analysis, inspection, alarm, log retrieval, and security management to make big data cluster health and stability
Provide professional experts services Provide customers a unitied platform solutions including deployment,management,operations and optimization
Multiple data type, integrated storage
Diverse analysis, boost value
Maintenance monitoring, health and safety
Operation controlling and efficiency improvement
A province uses AsiaInfo data infrastructure platform products to build an enterprise level big data platform, which internally realizes the improvement of data centralized storage, unified resource management and control, cluster operation and maintenance insight, data calculation and analysis, and builds the basic core capacity of big data external realization, thus effectively improving the value of enterprise data.
Enterprises build a complete big data service system around the platform, tenants, business, data and other aspects. Support production and operation, and improve management ability and service efficiency.